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Edge computing in IoT: preliminary results on modeling and performance analysis

dc.contributor.authorSkirelis, Julius
dc.contributor.authorNavakauskas, Dalius
dc.date.accessioned2023-09-18T17:01:04Z
dc.date.available2023-09-18T17:01:04Z
dc.date.issued2017
dc.identifier.other(BIS)25771759
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/118971
dc.description.abstractEdge computing, the subsidiary model of Cloud computing, is aiming to push computational resources closer to the edge of network. Its objectives are to improve network latency and ensure efficiency of performed tasks. However Internet of Things (IoT) devices usually are of limited processing power or/and connecting to network episodically, mostly due to power saving necessity and mobility. Thus in the paper investigation of the performance of edge computing for IoT is presented. Multiple simulations by EdgeNetworkCloudSim of different topologies, their parameters, together with considered IoT device primary limitations, are carried out. Simulation results confirm the specificity of edge computations for IoT and gives some practical insights.eng
dc.formatPDF
dc.format.extentp. 1-4
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyIEEE Xplore
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.source.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270555
dc.subjectIK02 - Išmaniosios komunikacijų technologijos / Smart communication technologies
dc.titleEdge computing in IoT: preliminary results on modeling and performance analysis
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.accessRightshttp://ieeexplore.ieee.org/document/8270555/
dcterms.references19
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enEdge computing
dc.subject.enCloud computing
dc.subject.enInternet of things
dcterms.sourcetitleThe 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE’2017), Riga, Latvia, November 24–25, 2017 : proceedings
dc.publisher.nameIEEE
dc.publisher.cityNew York
dc.identifier.doi000428137800033
dc.identifier.doi2-s2.0-85050632665
dc.identifier.doi10.1109/AIEEE.2017.8270555
dc.identifier.elaba25809494


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